{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "import matplotlib.image as mpimp"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# 原始未处理的图像"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(1080, 1920, 3)"
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "img = mpimp.imread('test.jpg')\n",
    "plt.imshow(img)\n",
    "img.shape # 像素（行列），通道"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# 截取小块图像区域"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(13, 20, 3)"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "img = mpimp.imread('test1.jpg')\n",
    "plt.imshow(img)\n",
    "img.shape"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# 分析-图像的基本属性\n",
    "1. 图像是由像素组成的，一个像素就是一个数组储存的数据\n",
    "1. 图像在计算机中的储存方式是以数组的方式储存的，数组中还可以嵌套数组"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## “储存的形状”"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(13, 20, 3)"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "img.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "13"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "len(img) # 总共13行数据"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([[[ 57,  70,  61],\n",
       "        [ 60,  77,  67],\n",
       "        [ 58,  85,  70],\n",
       "        [ 66, 101,  79],\n",
       "        [ 66, 106,  80],\n",
       "        [ 81, 121,  94],\n",
       "        [104, 141, 110],\n",
       "        [110, 135, 106],\n",
       "        [135, 148, 122],\n",
       "        [141, 140, 119],\n",
       "        [109,  98,  80],\n",
       "        [108,  92,  76],\n",
       "        [102,  86,  71],\n",
       "        [ 98,  86,  70],\n",
       "        [112, 105,  87],\n",
       "        [ 91,  85,  69],\n",
       "        [ 99,  86,  70],\n",
       "        [ 82,  66,  51],\n",
       "        [ 80,  64,  48],\n",
       "        [ 97,  80,  64]],\n",
       "\n",
       "       [[ 41,  54,  45],\n",
       "        [ 46,  63,  53],\n",
       "        [ 46,  73,  58],\n",
       "        [ 35,  68,  47],\n",
       "        [ 48,  88,  62],\n",
       "        [ 57,  97,  70],\n",
       "        [ 74, 108,  81],\n",
       "        [126, 150, 124],\n",
       "        [119, 131, 107],\n",
       "        [128, 127, 107],\n",
       "        [139, 130, 113],\n",
       "        [113, 100,  84],\n",
       "        [117, 104,  88],\n",
       "        [119, 107,  93],\n",
       "        [113, 106,  90],\n",
       "        [103,  97,  81],\n",
       "        [ 97,  83,  70],\n",
       "        [ 93,  79,  66],\n",
       "        [ 72,  58,  45],\n",
       "        [ 89,  73,  58]],\n",
       "\n",
       "       [[ 30,  46,  36],\n",
       "        [ 28,  45,  35],\n",
       "        [ 21,  45,  31],\n",
       "        [ 26,  57,  39],\n",
       "        [ 29,  64,  40],\n",
       "        [ 37,  73,  47],\n",
       "        [ 56,  89,  62],\n",
       "        [100, 124,  98],\n",
       "        [126, 140, 117],\n",
       "        [119, 120, 102],\n",
       "        [127, 120, 104],\n",
       "        [128, 116, 102],\n",
       "        [103,  91,  79],\n",
       "        [113, 103,  91],\n",
       "        [ 97,  89,  78],\n",
       "        [130, 124, 112],\n",
       "        [ 87,  74,  65],\n",
       "        [ 93,  80,  71],\n",
       "        [ 74,  62,  50],\n",
       "        [ 79,  65,  54]],\n",
       "\n",
       "       [[ 19,  35,  25],\n",
       "        [ 37,  55,  43],\n",
       "        [ 45,  69,  55],\n",
       "        [ 39,  68,  50],\n",
       "        [ 23,  56,  35],\n",
       "        [ 11,  45,  21],\n",
       "        [ 18,  48,  24],\n",
       "        [ 54,  76,  53],\n",
       "        [118, 131, 111],\n",
       "        [120, 124, 107],\n",
       "        [145, 142, 127],\n",
       "        [135, 127, 116],\n",
       "        [122, 114, 103],\n",
       "        [100,  91,  82],\n",
       "        [116, 109,  99],\n",
       "        [ 80,  73,  65],\n",
       "        [ 64,  55,  48],\n",
       "        [ 82,  73,  66],\n",
       "        [ 68,  57,  51],\n",
       "        [ 76,  65,  59]],\n",
       "\n",
       "       [[ 43,  60,  50],\n",
       "        [ 45,  65,  54],\n",
       "        [ 41,  63,  50],\n",
       "        [ 51,  78,  61],\n",
       "        [ 60,  89,  69],\n",
       "        [ 73, 102,  80],\n",
       "        [  9,  34,  13],\n",
       "        [ 22,  44,  23],\n",
       "        [ 87, 100,  82],\n",
       "        [117, 124, 108],\n",
       "        [133, 133, 121],\n",
       "        [126, 122, 113],\n",
       "        [108, 101,  93],\n",
       "        [ 59,  52,  46],\n",
       "        [ 41,  33,  30],\n",
       "        [ 51,  46,  42],\n",
       "        [ 54,  46,  44],\n",
       "        [ 56,  48,  46],\n",
       "        [ 67,  59,  56],\n",
       "        [ 65,  55,  53]],\n",
       "\n",
       "       [[ 41,  58,  48],\n",
       "        [ 15,  32,  22],\n",
       "        [ 10,  30,  18],\n",
       "        [ 14,  36,  23],\n",
       "        [ 25,  49,  33],\n",
       "        [ 49,  74,  55],\n",
       "        [ 90, 113,  95],\n",
       "        [  4,  22,   6],\n",
       "        [ 55,  69,  54],\n",
       "        [106, 114, 101],\n",
       "        [147, 150, 141],\n",
       "        [ 56,  55,  50],\n",
       "        [ 19,  16,  11],\n",
       "        [ 43,  38,  35],\n",
       "        [ 54,  48,  48],\n",
       "        [ 47,  41,  41],\n",
       "        [ 49,  45,  46],\n",
       "        [ 44,  40,  41],\n",
       "        [ 49,  43,  45],\n",
       "        [ 50,  44,  44]],\n",
       "\n",
       "       [[ 35,  52,  42],\n",
       "        [  3,  20,  10],\n",
       "        [ 10,  30,  19],\n",
       "        [ 14,  34,  22],\n",
       "        [ 16,  36,  24],\n",
       "        [ 19,  40,  25],\n",
       "        [ 63,  81,  67],\n",
       "        [ 43,  59,  46],\n",
       "        [ 38,  52,  39],\n",
       "        [ 80,  92,  82],\n",
       "        [  2,   9,   2],\n",
       "        [ 26,  28,  25],\n",
       "        [ 36,  36,  34],\n",
       "        [ 36,  34,  35],\n",
       "        [ 41,  36,  40],\n",
       "        [ 42,  36,  40],\n",
       "        [ 43,  41,  46],\n",
       "        [ 34,  32,  37],\n",
       "        [ 39,  37,  42],\n",
       "        [ 37,  35,  38]],\n",
       "\n",
       "       [[ 34,  51,  43],\n",
       "        [ 26,  43,  35],\n",
       "        [  8,  25,  15],\n",
       "        [  7,  24,  14],\n",
       "        [  7,  23,  13],\n",
       "        [  9,  25,  14],\n",
       "        [ 17,  33,  22],\n",
       "        [ 51,  67,  56],\n",
       "        [ 37,  50,  41],\n",
       "        [ 26,  37,  29],\n",
       "        [ 22,  31,  26],\n",
       "        [ 31,  37,  35],\n",
       "        [ 31,  32,  34],\n",
       "        [ 35,  33,  38],\n",
       "        [ 32,  27,  34],\n",
       "        [ 35,  30,  37],\n",
       "        [ 28,  29,  34],\n",
       "        [ 32,  33,  38],\n",
       "        [ 30,  29,  35],\n",
       "        [ 37,  36,  41]],\n",
       "\n",
       "       [[ 25,  42,  34],\n",
       "        [ 23,  38,  31],\n",
       "        [ 19,  34,  27],\n",
       "        [ 18,  33,  26],\n",
       "        [ 14,  27,  20],\n",
       "        [ 13,  26,  17],\n",
       "        [ 24,  37,  28],\n",
       "        [ 40,  53,  46],\n",
       "        [ 32,  45,  38],\n",
       "        [ 23,  34,  30],\n",
       "        [ 22,  31,  30],\n",
       "        [ 24,  29,  32],\n",
       "        [ 27,  31,  34],\n",
       "        [ 30,  29,  35],\n",
       "        [ 26,  23,  32],\n",
       "        [ 32,  26,  36],\n",
       "        [ 27,  27,  35],\n",
       "        [ 29,  29,  37],\n",
       "        [ 33,  34,  39],\n",
       "        [ 36,  37,  42]],\n",
       "\n",
       "       [[ 46,  61,  56],\n",
       "        [ 52,  67,  62],\n",
       "        [ 56,  68,  64],\n",
       "        [ 45,  57,  53],\n",
       "        [ 13,  25,  21],\n",
       "        [ 14,  25,  19],\n",
       "        [ 29,  40,  34],\n",
       "        [ 37,  48,  44],\n",
       "        [ 26,  37,  33],\n",
       "        [ 19,  29,  28],\n",
       "        [ 19,  27,  29],\n",
       "        [ 20,  25,  28],\n",
       "        [ 22,  25,  30],\n",
       "        [ 24,  24,  32],\n",
       "        [ 23,  21,  32],\n",
       "        [ 28,  25,  36],\n",
       "        [ 30,  33,  40],\n",
       "        [ 32,  35,  42],\n",
       "        [ 36,  39,  46],\n",
       "        [ 39,  42,  47]],\n",
       "\n",
       "       [[ 49,  61,  59],\n",
       "        [ 54,  66,  64],\n",
       "        [ 50,  62,  60],\n",
       "        [ 42,  54,  52],\n",
       "        [  5,  15,  14],\n",
       "        [ 11,  22,  18],\n",
       "        [ 33,  44,  40],\n",
       "        [ 24,  34,  33],\n",
       "        [ 17,  27,  26],\n",
       "        [ 16,  24,  26],\n",
       "        [ 17,  25,  27],\n",
       "        [ 17,  22,  26],\n",
       "        [ 17,  20,  27],\n",
       "        [ 21,  21,  29],\n",
       "        [ 23,  21,  32],\n",
       "        [ 26,  24,  35],\n",
       "        [ 28,  31,  38],\n",
       "        [ 31,  34,  41],\n",
       "        [ 35,  38,  45],\n",
       "        [ 38,  41,  46]],\n",
       "\n",
       "       [[ 67,  77,  78],\n",
       "        [ 61,  71,  72],\n",
       "        [ 43,  55,  55],\n",
       "        [ 60,  72,  72],\n",
       "        [ 33,  45,  43],\n",
       "        [ 14,  24,  23],\n",
       "        [ 36,  46,  45],\n",
       "        [ 12,  22,  21],\n",
       "        [ 12,  20,  22],\n",
       "        [ 16,  21,  24],\n",
       "        [ 18,  23,  27],\n",
       "        [ 16,  19,  24],\n",
       "        [ 18,  18,  26],\n",
       "        [ 22,  22,  30],\n",
       "        [ 26,  26,  36],\n",
       "        [ 28,  28,  38],\n",
       "        [ 30,  33,  40],\n",
       "        [ 33,  36,  43],\n",
       "        [ 36,  39,  46],\n",
       "        [ 38,  41,  46]],\n",
       "\n",
       "       [[ 80,  88,  91],\n",
       "        [ 71,  81,  83],\n",
       "        [ 75,  85,  87],\n",
       "        [ 41,  52,  54],\n",
       "        [ 22,  34,  34],\n",
       "        [ 33,  45,  45],\n",
       "        [ 28,  38,  39],\n",
       "        [  9,  17,  19],\n",
       "        [ 13,  18,  21],\n",
       "        [ 17,  21,  24],\n",
       "        [ 19,  20,  25],\n",
       "        [ 18,  19,  24],\n",
       "        [ 19,  19,  27],\n",
       "        [ 24,  24,  32],\n",
       "        [ 29,  29,  37],\n",
       "        [ 28,  31,  40],\n",
       "        [ 31,  31,  39],\n",
       "        [ 33,  33,  41],\n",
       "        [ 33,  33,  41],\n",
       "        [ 32,  33,  38]]], dtype=uint8)"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "img # 整幅图像的数据"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([[ 57,  70,  61],\n",
       "       [ 60,  77,  67],\n",
       "       [ 58,  85,  70],\n",
       "       [ 66, 101,  79],\n",
       "       [ 66, 106,  80],\n",
       "       [ 81, 121,  94],\n",
       "       [104, 141, 110],\n",
       "       [110, 135, 106],\n",
       "       [135, 148, 122],\n",
       "       [141, 140, 119],\n",
       "       [109,  98,  80],\n",
       "       [108,  92,  76],\n",
       "       [102,  86,  71],\n",
       "       [ 98,  86,  70],\n",
       "       [112, 105,  87],\n",
       "       [ 91,  85,  69],\n",
       "       [ 99,  86,  70],\n",
       "       [ 82,  66,  51],\n",
       "       [ 80,  64,  48],\n",
       "       [ 97,  80,  64]], dtype=uint8)"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "img[0] # 第0行的13个数据"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([57, 70, 61], dtype=uint8)"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "img[0][0] # 第0行0列的20个数据，内容是3个数值"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "57"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "img[0][0][0] # 第0行0列的数据的红色通道的值"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([[ 57,  60,  58,  66,  66,  81, 104, 110, 135, 141, 109, 108, 102,\n",
       "         98, 112,  91,  99,  82,  80,  97],\n",
       "       [ 41,  46,  46,  35,  48,  57,  74, 126, 119, 128, 139, 113, 117,\n",
       "        119, 113, 103,  97,  93,  72,  89],\n",
       "       [ 30,  28,  21,  26,  29,  37,  56, 100, 126, 119, 127, 128, 103,\n",
       "        113,  97, 130,  87,  93,  74,  79],\n",
       "       [ 19,  37,  45,  39,  23,  11,  18,  54, 118, 120, 145, 135, 122,\n",
       "        100, 116,  80,  64,  82,  68,  76],\n",
       "       [ 43,  45,  41,  51,  60,  73,   9,  22,  87, 117, 133, 126, 108,\n",
       "         59,  41,  51,  54,  56,  67,  65],\n",
       "       [ 41,  15,  10,  14,  25,  49,  90,   4,  55, 106, 147,  56,  19,\n",
       "         43,  54,  47,  49,  44,  49,  50],\n",
       "       [ 35,   3,  10,  14,  16,  19,  63,  43,  38,  80,   2,  26,  36,\n",
       "         36,  41,  42,  43,  34,  39,  37],\n",
       "       [ 34,  26,   8,   7,   7,   9,  17,  51,  37,  26,  22,  31,  31,\n",
       "         35,  32,  35,  28,  32,  30,  37],\n",
       "       [ 25,  23,  19,  18,  14,  13,  24,  40,  32,  23,  22,  24,  27,\n",
       "         30,  26,  32,  27,  29,  33,  36],\n",
       "       [ 46,  52,  56,  45,  13,  14,  29,  37,  26,  19,  19,  20,  22,\n",
       "         24,  23,  28,  30,  32,  36,  39],\n",
       "       [ 49,  54,  50,  42,   5,  11,  33,  24,  17,  16,  17,  17,  17,\n",
       "         21,  23,  26,  28,  31,  35,  38],\n",
       "       [ 67,  61,  43,  60,  33,  14,  36,  12,  12,  16,  18,  16,  18,\n",
       "         22,  26,  28,  30,  33,  36,  38],\n",
       "       [ 80,  71,  75,  41,  22,  33,  28,   9,  13,  17,  19,  18,  19,\n",
       "         24,  29,  28,  31,  33,  33,  32]], dtype=uint8)"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "img[:,:,0]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# 彩色图像分解-rgb分解"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 图像的红色通道"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.image.AxesImage at 0x7f21b2783470>"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 443.077x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.matshow(img[:,:,0])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 图像的绿色通道"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.image.AxesImage at 0x7f21b275b0f0>"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 443.077x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.matshow(img[:,:,1])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 图像的蓝色通道"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.image.AxesImage at 0x7f21b272bdd8>"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 443.077x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.matshow(img[:,:,2])"
   ]
  }
 ],
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